NEPAL Terai Flood | August 2017
A REPORT ON THE FOOD SECURITY IMPACT OF THE 2017 FLOOD IN THE TERAI Comprehensive report based on the results of ad hoc District Food Security Network (DFSN) meetings in 15 districts (23-29 August and 9-17 September 2017)
Background
Heavy monsoon rainfall during 10-13 August 2017 triggered severe flash floods and land- Figure 1: Water level of Ruikhola river at Bankatta. Source: DHM slides in 35 out of 75 districts in Nepal (see Figures 1 and 2). An Initial Rapid Assessment (IRA) conducted in 28 districts revealed that floods and landslides claimed 141 lives, injured 117 persons, displaced 460,900 people, and left 24 missing. Damage to houses, infrastruc- tures, and productive resources was severe; roughly 65,000 houses were completely de- stroyed and 120,100 houses were partially damaged (Nepal Red Cross Society, IRA Compi- lation Report, 20 August 2017).
The southern Terai plains were critically affected by the floods and experienced severe hu- manitarian implications in terms of damage to houses, displacement, food security, health and sanitation, access to basic services, and losses in agricultural production. The Ministry of Agricultural Development (MoAD) has estimated 57 million USD in losses of major crops in 30 districts, of which approximately 56.7 million USD in losses occurred in Terai districts. A quick nutrition assessment conducted by the Nutrition Cluster reported high levels of undernutrition (wasting) in the flood-affected Terai districts.
NeKSAP undertook a 72-hour assessment of the flood using satellite images, the IRA, sec- ondary data, and field information. The results indicated that Saptari, Rautahat, Mahottari, Bardiya and Banke were the most flood-affected districts, followed by Sarlahi, Siraha, Parsa and Dhanusha (Nepal Terai Flood Update Version 2.0). Figure 2: Rainfall recorded in Bankatta station, Rui Khola*. Source: DHM NeKSAP also undertook a detailed assessment of the flood impacts on food security through ad hoc DFSN meetings in 10 of the worst flood-affected districts (Banke, Bardiya, Rautahat, Sarlahi, Mahottari, Dhanusa, Siraha, Saptari, Sunsari, and Morang) during 23-29 August 2017. Additional assessments were undertaken in 5 districts (Jhapa, Bara, Parsa, Chitwan, and Kailali) during 9-17 September 2017. This report presents the comprehensive results of the ad hoc DFSN meetings. Map 1: Coverage of ad hoc DFSN meetings (23-29 August and 9-17 September 2017)
* Warning level for rainfall: 60 mm in 1 hour, 80 mm in 3 hours, 100 mm in 6 hours, 120 mm in hrs, and 140 mm in 24 hours. Source: DHM www.hydrology.gov.np
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Highlights Based on the post-flood situation, the ad hoc DFSN meetings in 15 Terai districts classified each VDC/municipality as minimally food insecure (Phase 1), moderately food inse- cure (Phase 2), highly food insecure (Phase 3), or severely food insecure (Phase 4). None of the VDCs/municipalities were classified as a humanitarian emergency (Phase 5) situ- ation.
DFSNs classified 637 VDCs/municipalities (more than half of 1,041 total VDCs/municipalities) as moderately food insecure (Phase 2) or worse in 15 Terai districts (see Map 2). The breakdown of the DFSN classifications are as follows:
8 VDCs in Saptari were severely food insecure (Phase 4) 256 VDCs were highly food insecure (Phase 3) 373 VDCs and municipalities were moderately food insecure (Phase 2) 404 VDCs and municipalities were minimally food insecure (Phase 1)
Refer to Annex 1 for district-wide food security phase maps and affected populations for the 15 Terai districts.
DFSNs estimated that roughly 778,000 people were in Phase 3 and 4, and required external assistance to meet food and non-food needs. This is about 40 percent of the total population in the flood-affected areas and 9 percent of the total district population. The next round of DFSN meetings will be held in mid-November. Until then, DFSNs antici- pate an improvement in the food security situation. As forecasted by the DFSNs, none of the VDCs will be classified as severely food insecure (Phase 4) and the number of VDCs likely to be classified as highly food insecure (Phase 3) and moderately food insecure (Phase 2) will decrease to 212 (from 256 currently) and 360 (373 currently) respectively.
The latest round of regularly conducted DFSN meetings (held every four months) in July 2017 classified all Terai districts as minimally food insecure, or Phase 1 (see Annex 2).
Map 2: NeKSAP Integrated Food Security Phase Classification, August 23-29 and 9-17 September, 2017. Source: DFSN
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Table 1: Number of VDCs and municipalities in Phases -1 4 and the affected population* Current situation (23-29 Aug. and 9-17 Sept., 2017) Outlook (late Aug./Sept. to mid-November 2017) Total VDCs/ SN Districts No. of No. of No. of Population No. of Population No. of VDCs/ No. of VDCs/ No. of VDCs/ municipalities VDCs/muni. VDCs/muni. VDCs/muni. in Phase 4 VDCs/muni. in Phase 4 muni. in muni. in muni. in in Phase 1 in Phase 2 in Phase 3 in Phase 4 Phase 1 Phase 2 Phase 3 1 Morang 66 43 19 4 23,600 0 Na 43 19 4
2 Sunsari 52 25 18 9 42,000 0 Na 25 18 9
3 Saptari 97 26 47 16 45,600 8 29,700 26 47 24
4 Siraha 70 34 21 15 50,000 0 Na 34 21 15
5 Dhanusa 102 8 66 28 54,200 0 Na 8 66 28
6 Mahottari 77 9 29 39 88,700 0 Na 9 29 39
7 Sarlahi 100 29 31 40 107,700 0 Na 29 56 15
8 Rautahat 96 5 42 49 163,200 0 Na 5 69 22
9 Banke 35 20 5 10 45,300 0 Na 20 5 10
10 Bardiya 32 24 3 5 59,500 0 Na 24 3 5
11 Kailali 44 39 5 0 Na 0 Na 39 5 0
12 Chitwan 38 33 5 0 Na 0 Na 33 5 0
13 Parsa 83 44 22 17 28,800 0 Na 66 0 17
14 Bara 99 32 43 24 39,700 0 Na 75 0 24
15 Jhapa 50 33 17 0 Na 0 Na 33 17 0
Total 1,041 404 373 256 748,300 8 29,700 469 360 212
* Affected population is estimated as the population in Phase 3 and Phase4. Population in Phase 4 – 29,700
Population in Phase 3 — 748,300 Affected population – 778,000
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Key contributing factors Most of the houses in the affected areas were made of poor structural materials, such as unbaked brick and bamboo, which were not capable of withstanding floods. The 2011 National Population and Housing Census reported that 60-70 percent of houses in Jhapa, Morang, Sunsari, Siraha, Saptari, Dhanusha, Mahottari, Sarlahi and Rautahat, 50-60 percent houses in Bara and Parsa, and 20-40 percent of houses in Kailali, Banke and Bardiya were built with poor structural materials. These houses in particular were de- stroyed and/or damaged due to floods.
Wheat, the major winter crop in the Terai, was harvested in April/May. The floods damaged household food stocks, which comprise the major source of food consumption in the Terai. DFSNs reported that, on average, 30-60 percent of the household food stocks were completely lost and/or rotten in most places. The situation was even worse in the 8 VDCs of Saptari classified as Phase 4, where more than 80 percent of households lost their entire food stocks.
The next major cereal harvest of paddy will take place in November/December. With food stocks destroyed by floods, affected families are expected to face food consumption gaps. The situation will be even more precarious during the Dashain/Tihar festival (in October), during which food consumption is typically high.
Standing crops (paddy and vegetable) and fish ponds have been severely damaged and/or wiped away. MoAD’s latest estimates report crop (including fish) damage of 55.8 million USD, of which 16.2 million USD, 12.4 million USD, and 14.8 million USD in damage is attributed to paddy, vegetable and fish, respectively.
Despite the high initial damage to market infrastructures, markets quickly resumed functioning. As of 28 August 2017, 481 markets were fully functioning and 77 markets were recovering. Some 40 VDCs were inaccessible in flood-affected districts, including 16 in Dhanusha, 13 in Mahottari, 6 in Rautahat, 1 in Saptari, and 3 in Banke. However, in the wholesale and Indian border markets, food and non-food commodities were available and prices were stable (Terai Flood Update Version 2.0, NeKSAP, 28 August 2017).
DFSNs reported a food price increase of 15-20 percent, largely due to supply chain offsets. Prices of vegetables were reported to have increased by about 5 times because of the large-scale damage caused during the harvesting period. Figure 3: Prevalence of food poverty and wasting. Source: Small area estimate of food insecurity and undernutrition in Nepal, 2014 The nutrition, health and sanitation situation in the post-flood period was reported as poor. The MUAC assessment of 10,257 children be- tween 6-59 months of age undertaken by the Nutrition Cluster in 18 flood-affected districts showed high rates of acute child malnutrition. Average rates of Severe Acute Malnutrition (SAM), Moderate Acute Malnutrition (MAM), Global Acute Malnutrition (GAM) in the flood- affected districts were 6.0 percent, 17.1 percent and 23.1 percent, respectively, while the national averages were 1.8 percent, 7.9 percent and 9.7 percent. The highest GAM rates were observed in Saptari (35.7 percent), Siraha (34.3 percent), Jhapa (33.3 percent), Bara (17.4 per- cent), Dhanusa (16.84 percent), Kailali (16.3 percent), Rautahat (15 percent), and Mahottari (14.7 percent) (Nutrition Cluster and District Public Health Offices).
Figure 3 shows the pre-flood prevalence of food poverty and wasting (children under 5 years of age) in the 15 flood-affected districts in 2014. As shown in the figure, food poverty and wasting rates were already high and the acute shock will further exacerbate the situation.
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Outlook Methodology
District Food Security Networks, based on current conditions and future sce- DFSNs used the NeKSAP Integrated Food Security Phase Classification (IPC) exercise to classi- narios, have forecasted the likely food security situation for the period of late fy each of the VDCs and municipalities into five different phases (see Table 2 for the descrip- August to mid-November 2017. tions of phases).
Overall, DFSNs anticipate that the food security situation will improve in Sap- Technical Working Group (TWG) meetings undertook preliminary analysis of the food securi- tari, Sarlahi and Rautahat, but continue in the current food security state in ty situation using 17 NeKSAP IPC indicators (3 outcome indicators and 14 contributing fac- the remaining 12 districts if affected households do not receive external as- tors) to assign a phase classification to each VDC and municipality. sistance. In addition to local expert knowledge, TWGs also referred to the Initial Rapid Response (IRA) DFSNs reported that the situation in severely food insecure (Phase 4) VDCs during the phase classification exercise. will slightly improve (to Phase 3), and the number of highly food insecure (Phase 3) and moderately food insecure (Phase 2) VDCs will decrease to 212 Results of the phase classification exercise were shared at the DFSN meeting for further scru- (from 256) and to 360 (from 373), respectively. The number of minimally tiny, validation and endorsement. food insecure VDCs will, however, increase to 469 (from 404). Table 2: Description of NeKSAP IPC Phases
Equivalent DFSNs attributed the outlook largely to large-scale damage to assets, infra- Phase NeKSAP Phases Description structure and productive resources (e.g. crops, livestock, fish ponds, crop phases IPC v2 fields etc.), which require substantial time and resources to restore and re- 1 Minimally Food Minimal Households with secure food and non-food needs without shifting or chang- cover. Insecure ing livelihood strategies. These households are capable of adjusting to small scale stresses caused by hazards, disasters, shocks, epidemics and conflicts or violence by means of existing social, natural and economic capital. August-November is typically a lean season period when no major cereal 2 Moderately Stressed Households meet minimal food needs with traditional coping strategies, but crops are harvested in the Terai. As previous household stocks of wheat Food Insecure are unable to afford some essential non-food expenditures without engaging (harvested in April/May) were washed away, households are expected to (or Stressed) in irreversible coping strategies. face severe food consumption gaps. Because of erratic rainfall during paddy 3 Highly Food Crisis Households experience food consumption gaps and high or above usual acute transplantation (before 10 August) and damage caused to the standing crop, Insecure (or malnutrition, or meet minimal food needs only with accelerated depletion of production prospects for paddy also appear bleak for 2017. Crisis) livelihood assets - leading to food consumption gaps. 4 Severely Food Emergency Households unable to meet food and non-food needs without losing liveli- MoAD estimates (as of 1 August 2017) suggest average paddy transplanta- Insecure (or hood assets. This induces very high acute malnutrition leading to high morbid- Emergency) ity, mortality and shortened life expectancy. Probable high level of violence tion rates of 62 percent in eastern Terai districts. The transplantation rates and movement restriction due to conflict. Some immediate interventions and for Siraha, Dhanusha, Mahottari, Sarlahi, and Banke were reported to be assistance required. worse, at 39 percent, 40 percent, 36 percent, 50 percent, and 30 percent, 5 Humanitarian Famine Almost all households have an extreme lack of food and other basic needs respectively. Emergency (or where starvation, destitution, irreversible loss of capital resources and loss of Declared Fam- lives are evident. Households of the whole areas are challenged by acute ine) shortage of food and other basic needs - hazards, disasters, epidemics or Affected households are expected to rely on relief support, and make in- destruction of infrastructure, disturbances of services. Immediate humanitari- creasing use of remittances for consumption. Income for daily wages will also an assistance required. contribute to food security, but at a marginal level.
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Annex 1: District-wise phase maps and affected population
DISTRICT PAGE # REMARKS (AS OF) BANKE PAGE 8 23-29 AUGUST
BARDIYA PAGE 8 23-29 AUGUST
DHANUSA PAGE 9 23-29 AUGUST
MAHOTTARI PAGE 9 23-29 AUGUST
SAPTARI PAGE 10 23-29 AUGUST
SIRAHA PAGE 10 23-29 AUGUST
RAUTAHAT PAGE 11 23-29 AUGUST
MORANG PAGE 11 23-29 AUGUST
SARLAHI PAGE 12 23-29 AUGUST
SUNSARI PAGE 12 23-29 AUGUST
BARA PAGE 13 9-17 SEPTEMBER
PARSA PAGE 13 9-17 SEPTEMBER
JHAPA PAGE 14 9-17 SEPTEMBER
CHITWAN PAGE 14 9-17 SEPTEMBER
KAILALI PAGE 14 9-17 SEPTEMBER 7
Banke VDCs in Phase 2017 population Population in 3 (projected) Phase 3
Baijapur 13,052 6,500 Bankatti 6,619 3,300 Betahani 8,688 4,300 Binauna 7,825 3,900 Gangapur 6,585 3,300 Holiya 6,713 3,400 Kachanapur 9,453 4,700 Matehiya 8,260 4,100 Narainapur 5,449 2,700 Phattepur 18,107 9,100 TOTAL 90,751 45,300
Bardiya 2017 population Population in VDCs in Phase 3 (projected) Phase 3
Baniyabhar 18,870 9,400
Gulariya munici- 59,494 29,700 pality
Magaragadi 20,205 10,100
Mahamadpur 11,667 5,800
Padanaha 9,087 4,500
TOTAL 119,323 59,500
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Dhanusa Mahottari 2017 popula- 2017 popula- Population Population VDCs in Phase 3 tion VDCs in Phase 3 tion in Phase 3 in Phase 3 (projected) (projected) Jaleshwor Munici- 25115 6,400 Mukhiyapatti Mu- 7849 4,700 pality Ankar 6052 1,500 Bisarmora 5237 2,100 Suga-vawanipatti 7255 2,200 Baheda Bela 7452 2,200 Fulhatta-Parikauli 6338 1,600 Lakkad 4366 1,800 Parsa Pateli 3855 1,600 Lagmagadhaguthi 5688 1,300 Simardahi 5482 1,400 Dhanauji 9528 2,900 Mahottari 11287 2,900 Nainhi 8968 2,300 Inarwa 3561 1,100 Halkhori 6438 1,400 Kanakpatti 5998 1,300 Bathanaha 10295 2,300 Mahuwa (Pra. Sisawakataiya 8179 2,500 5178 1,600 Khe.) Ekadarabela 11003 3,400 Khajuri Chanha 6376 1,900 Pipra 10003 2,600 Ekarahiya 10627 3,300 Machijhitkaiya 9902 3,000 Bramarpura 10094 2,600 Patanuka 3721 900 Badiya Banchauri 7222 2,200 Balaha Kathal 3634 900 Gonarpura 7637 2,300 Sandha 4784 1,200 Singyahi Maidan 9925 4,000 Sarpallo 10540 3,200 Harine 5390 1,600 Kolhuwa Bageya 8907 2,300 Gopalpur 5409 1,400 Manara 7390 1,700 Sonaul 4477 1,000 Ballagoth 4571 1,600 Balawa 8637 2,600 Dubarikot 7336 1,800 Paraul 7276 2,600 Hathiletwa Banouta 6844 1,700 Baghchaura 6284 1,600 Damhimarayee 10350 2,600 Loharpatti 8800 2,200 Duhabi 7493 2,300 Singyahi 8830 2,700 Tulsiyahi Jabdi 4694 1,900 Hatisarwa 7287 2,200 Thadi Jhija 7782 2,300 Pigouna 3834 1,000 Nagaraeen 6613 1,500 Bhatauliya 4937 1,500 Matihani 10314 3,200 Tulsiyahi Nikas 4694 1,200 Etaharwakatti 7366 1,500 Balaha Sadhara 4301 1,300 Basabitti 6841 1,700 Vagaha 13960 4,300 Deuri Parbaha 4598 1,600 Dhirapur 10192 2,600 Dhanusadham 9244 2,000 Sahorawa 6156 1,600 Ratauli 6241 1,600 Dhanusha Go- 9442 2,400 Banauli Donauli 4885 1,200 TOTAL 176,266 54,200 TOTAL 324,698 88,700 9
VDCs in Phase 3 2017 popula- Population Saptari tion in Phase 3 VDCs in Phase 4 2017 popu- Population lation in Phase 4 Bakdhauwa 8,927 4,500 Baramjhiya 4,995 2,500 Bamangamakatti 8,610 6,000 Bhardaha 7,603 3,800 Barsain (Ko.) 5,825 4,100 Bishahariya 7,599 3,800 Koiladi 5,040 3,500 Deuri 5,056 2,500 Launiya 3,756 2,600 Didhawa 4,535 2,300 Mainakaderi 3,421 2,400 Diman 4,571 2,300 Sankarpura 4,673 3,300 Farseth 3,751 1,900 Goithi 4,003 2,000 Rampuramalhaniya 7,242 5,100 Hanumannagar 22,321 3,300 Tilathi 3,868 2,700 yoginimai munic- TOTAL 42,435 29,700 Hariharpur 4,943 2,500 Ko. Madhepura 4,918 2,500 Lohajara 5,944 3,000 Portaha 5,527 2,800 Trikaula 5,549 2,800 Madhawapur 6,115 3,100 Siraha TOTAL 106,357 45,600 VDCs in Phase 3 2017 population (projected) Population in Phase 3 Arnamarampur 3,766 2,300 Belhi 6,659 2,600 Bhokraha 1,875 1,100 Bishnupur Pra.Ra 5,357 3,200 Chatari 2,893 1,700 Chikana 3,885 2,300 Dumari 4,111 2,500 Itari Parsahi 4,380 2,600 Kalyanpur Jabadi 10,228 6,100 Majhauliya 4,961 3,000 Bhedia 4,487 2,700 Badharamal 17,590 10,600 Gautari 3,937 2,400 Kalyanpurkalabanzar 3,553 2,100 Karjanha 7,969 4,800 10 TOTAL 85,651 50,000
Rautahat VDCs in Phase 3 2017 popu- Population VDCs in Phase 3 2017 popula- Population lation in Phase 3 tion in Phase 3 (projected) (projected)
Auraiya 11,560 5,200 Inarbari Jyutahi 7,008 2,800 Ajagabi 4,039 1,800 Dharhari 3,034 1,400
Badharwa 5,282 3,700 Dumriya(Paroha) 4,632 1,900
Bairiya 5,441 2,700 Fatuwa Harsaha 4,488 1,300
Banjaraha 3,199 1,900 Jatahara 9,489 3,800
Basatpur 5,819 3,800 Jhunkhunwa 7,486 4,500
Bhalohiya(Pipra) 5,205 2,300 Jowaha(Jokaha) 8,923 2,700
Inaruwa 4,830 2,400 Karuniya 8,054 3,200
Brahmapuri 4,432 2,900 Mathiya 6,417 1,900
Debahi 7,391 5,200 Laxminiya Do. 12,109 3,600
Gangapipara 3,571 1,800 Laxmipur (Do.) 7,387 2,200
Gaur Municipality 37,285 22,400 Mithuawa 4,160 1,700
Jethrahiya 4,509 1,800 Pacharukhi 5,554 2,800
Karkach Karmaiya 8,071 5,700 Pathara Budharam 7,441 3,000
Katahariya 10,629 5,300 Pipara Pokhariya 6,826 2,000
Maryadpur 5,770 2,900 Pipariya(Paroha) 8,748 2,600
Basedawa 7,204 4,300 Pipra Rajbara 7,479 3,700
Matsari 4,614 2,800 Prempur Gunahi 7,752 2,300
Pataura 8,593 4,300 Shitalpur Bairgania 7,898 2,400
Rajdevi 4,718 3,100 Fatuha Maheshpur 4,914 2,900
Rajpur Tulsi 6,193 3,700 Jingadawa Belbichwa 6,588 2,600
Saunaraniya 6,396 3,800 Laxmipur Belbichawa 3,799 2,300
SantapurDostiya 7,907 2,400 Mudwalawa 4,604 2,300
Saruatha 7,951 3,200 Tengraha 6,347 2,200
Hathiyahi 5,652 1,700 TOTAL 347,398 163,200 Morang VDCs in Phase 3 2017 popu- Population VDCs in Phase 3 2017 popula- Population lation in Phase 3 tion in Phase 3 (projected) (projected)
Baijanathpur 6,019 2,700 Katahari 26,035 11,100 Budhanagar 15,118 6,200 Sisawanijahada 8,786 3,600 11 TOTAL 55,958 23,600
Sarlahi VDCs in Phase 2017 popu- Population VDCs in Phase 2017 popula- Population 3 lation in Phase 3 3 tion in Phase 3 (projected) (projected)
Belhi 3,794 1,900 Barahathawa 19,371 5,800 Bhadsar 4,239 1,900 Belwa Jabdi 6,188 2,200
Bhelhi 4,892 2,500 Bhagawatipur 4,612 1,600
Chhataul 6,892 3,800 Chhatona 3,541 1,600
Godeta 7,129 3,200 Dumariya 4,971 1,700
Harakthawa 6,037 2,700 Kaudena 8,053 2,800
Hathiyol 9,135 5,000 Khutauna 5,222 1,600
Khirwa 12,613 6,900 Madhubangoth 6,341 2,200
Mahinathpur 3,829 2,100 Madhubani 4,544 1,600
Manpur 9,489 4,800 Rohuwa 3,310 1,200
Ramnagar 7,118 3,900 Sikhauna 5,275 2,100
Sakraul 5,308 2,400 Sisotiya 10,422 4,200
Simara 9,525 4,300 Sisout 8,502 3,800
Sudama 4,469 2,000 Batraul 5,209 2,100
Sundarpur 8,060 3,200 Fulparasi 3,972 1,600
Achalgadh 4,130 1,700 Mirjapur 4,896 2,000
Arnaha 4,241 1,900 Ramban 5,283 1,800
Bagdaha 7,250 2,900 Gadahiyabairi 7,111 2,500
Bahadurpur 2,154 900 Tribhuwan 3,847 1,500
Balara 8,160 3,700 TOTAL 254,470 107,700 Bara Udhoran 5,336 2,100
Sunsari VDCs in 2017 population Population in VDCs in Phase 2017 population Population in Phase 3 (projected) Phase 3 3 (projected) Phase 3 Amaduwa 9,835 4,000 Haripur 12,842 6,000 Basantapur 6,088 2,600 Kaptanganj 9,633 4,600 Dewanganj 7,987 3,700 Narsinghatappu 22,512 10,300 Ghuskee 11,666 5,200 Sahebganj 4,337 2,000 Harinagara 8,346 3,600 TOTAL 93,246 42,000
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Bara Parsa VDCs in Phase 2017 popu- Population VDCs in Phase 2017 popula- Population 3 lation in Phase 3 3 tion in Phase 3 (projected) (projected)
Amab 5,611 1,200 Auraha 5,754 1,700 Baghawan 4,992 1,700 Bhedihari 6,160 1,400
Banjariya 6,402 1,900 Dhore 5,127 1,800
Barainiya 5,491 1,600 Jagarnathpur 7,194 2,500
Basatpur 7,291 1,800 Jaimangalapur 5,761 2,000
Batara 4,030 1,000 Janakitola 4,698 1,600
Bhaluhi Bhar- 7,176 1,600 Jhouwa Guthi 6,790 1,700 baliya Bhodaha 7,283 2,500 Lahawarthakari 4,309 1,300
Bishrampur 6,746 1,700 Mainpur 3,449 1,000 (Pakaha) Chhatawa 6,040 1,500 Masihani 6,490 2,600
Itiyahi 7,107 1,800 Bhikhampur 4,988 1,500
Jhitakaiya 9,430 2,800 Mirjapur 4,513 1,400 (Dakshin)
Kachorwa 11,694 2,900 Mudali 6,243 1,600
Khopawa 5,396 1,300 Prasurampur 3,122 800
Paparpati 3,298 700 Sabaithawa 4,789 1,900 Jabdi
Pathera 5,342 1,200 Samjhauta 7,465 2,200
Pheta 7,419 1,600 Sugauli Partwa- 6,152 1,800 Pipra Basanta- 4,658 1,000 wa pur TOTAL 93,004 28,800 Prastoka 10,891 2,400 Rampurwa 5,574 1,400
Ratanpuri 11,118 2,400
Rauwahi 3,648 900
Tedhakatti 5,077 1,300
Telkuwa 5,889 1,500
Total 157,603 39,700
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Annex 2: NeKSAP Integrated Food Security Phase Classification, July, 2017. Source: DFSN
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